Data Analyst

Overview:
• 1–3 years of experience in AI/ML engineering or software development.
•  Experience with data storytelling through visualization.
•   Experience in designing and executing end to end experiments
• Experience with vector databases, data pipelines, and retrieval systems.
•  Knowledge of LLMs, GenAI, Prompt Engineering and Agentic AI.
•  Strong problem-solving skills and eagerness to learn new AI techniques and frameworks.
•  Domain expertise in Personal Investment Banking (Preferable)
Required Qualifications
•  Experience: 6+ years of professional experience in Machine Learning Engineering, AI Development, or a closely related field.
•  Education: Master’s degree in Computer Science, Data Science, Engineering, or a quantitative field.
• Problem Solving: Demonstrated ability to apply analytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions.